Towards such a concern, many methods have been proposed successively.
Early research is keen on utilizing hand-crafted features or modifying the structure of existing
neural networks[1]}, [2]}, [3]}, [4]}.
However, with remarkable progress made in facial synthesis technology [5]}, [6]}, [7]}, such methods have been unable to reliably detect face forgery.
After that, the research mainstream is gradually turning to methods that introduce different information and prior knowledge into backbone networks
 [8]}, [9]}, [10]}.
For example, DeepRhythm [9]} utilizes the minuscule periodic changes of skin color due to blood pumping through the face.
